A. Christy, M. A. Anto Praveena, S. Vaithyasubramanian, M. Roobini
{"title":"利用基于物联网平台的数据分析完成远程化学反应","authors":"A. Christy, M. A. Anto Praveena, S. Vaithyasubramanian, M. Roobini","doi":"10.1109/I-SMAC52330.2021.9640994","DOIUrl":null,"url":null,"abstract":"In today’s world Chemical industries and biochemical plants deal with hazardous chemical reactions. The progression of the reaction / completion of the reaction are done by observation of different parameters as well as aliquoting different samples for analysis. This normal procedure is tedious, time consuming and cumbersome. A novel method has been developed to accurately estimate the end point of chemical reaction in remote locations using Internet of Things (IoT) platform. The procedure involves monitoring different parameters like changes in pressure, volume and analyzing the data to find accurately the end point of locations using IOT and Machine learning techniques. A simple reaction involving oxidation of oxalic acid with incremental addition of potassium permanganate in nitric acid medium was carried out in lab scale under vacuum and the drop in vacuum was observed with time and volume. The end point of the reaction was accurately estimated by observing the pressure values using a pressure sensor and passing it to the cloud through the Wi-Fi module. Data is analyzed using machine learning techniques and once the curve flattens means the end point is reached. The data sends an alert to the IoT device that the reaction is completed as well as the circuit is automatically stopped in further functioning.","PeriodicalId":178783,"journal":{"name":"2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Completion of Chemical Reaction in Remote Locations Using Data Analytics Built on Internet of Things Platform\",\"authors\":\"A. Christy, M. A. Anto Praveena, S. Vaithyasubramanian, M. Roobini\",\"doi\":\"10.1109/I-SMAC52330.2021.9640994\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In today’s world Chemical industries and biochemical plants deal with hazardous chemical reactions. The progression of the reaction / completion of the reaction are done by observation of different parameters as well as aliquoting different samples for analysis. This normal procedure is tedious, time consuming and cumbersome. A novel method has been developed to accurately estimate the end point of chemical reaction in remote locations using Internet of Things (IoT) platform. The procedure involves monitoring different parameters like changes in pressure, volume and analyzing the data to find accurately the end point of locations using IOT and Machine learning techniques. A simple reaction involving oxidation of oxalic acid with incremental addition of potassium permanganate in nitric acid medium was carried out in lab scale under vacuum and the drop in vacuum was observed with time and volume. The end point of the reaction was accurately estimated by observing the pressure values using a pressure sensor and passing it to the cloud through the Wi-Fi module. Data is analyzed using machine learning techniques and once the curve flattens means the end point is reached. The data sends an alert to the IoT device that the reaction is completed as well as the circuit is automatically stopped in further functioning.\",\"PeriodicalId\":178783,\"journal\":{\"name\":\"2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)\",\"volume\":\"37 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-11-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/I-SMAC52330.2021.9640994\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/I-SMAC52330.2021.9640994","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Completion of Chemical Reaction in Remote Locations Using Data Analytics Built on Internet of Things Platform
In today’s world Chemical industries and biochemical plants deal with hazardous chemical reactions. The progression of the reaction / completion of the reaction are done by observation of different parameters as well as aliquoting different samples for analysis. This normal procedure is tedious, time consuming and cumbersome. A novel method has been developed to accurately estimate the end point of chemical reaction in remote locations using Internet of Things (IoT) platform. The procedure involves monitoring different parameters like changes in pressure, volume and analyzing the data to find accurately the end point of locations using IOT and Machine learning techniques. A simple reaction involving oxidation of oxalic acid with incremental addition of potassium permanganate in nitric acid medium was carried out in lab scale under vacuum and the drop in vacuum was observed with time and volume. The end point of the reaction was accurately estimated by observing the pressure values using a pressure sensor and passing it to the cloud through the Wi-Fi module. Data is analyzed using machine learning techniques and once the curve flattens means the end point is reached. The data sends an alert to the IoT device that the reaction is completed as well as the circuit is automatically stopped in further functioning.